# Results from the R Shapefile Contest!

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Today I am happy to announce the results from the R Shapefile Contest.

The contest was an incredible success – there were 19 entries that covered a range of topics. Each entry was well thought out, and I encourage you to read each of them.

Here are the entries, in order of submission:

**Bonus:**Get all the entries as a PDF!

Please join me in thanking each of the entrants!

### Goals of the Contest

As a reminder, the goal of the contest was to “do something in R, with a shapefile, that does something other than make a choropleth map”. This goal was entirely selfish: I have spent years analyzing data using choropleth maps. But as I don’t have a background in geospatial statistics, I am really not aware of what other analytical techniques I can be using. I hoped that by running a contest I could learn some more useful techniques that I could then apply to my own work.

### And the winner is …

There are actually two winners to the contest. They both provided concise explanations, and real-world demonstrations, of geospatial concepts that I was simply not aware of.

- Spatial neighbors in R – an interactive illustration by Kyle Walker. Kyle is a geography professor. This might have allowed him to intuitively understand the types of analyses that I was looking for. His entry demonstrates different definitions of “neighbor” in spatial statistics, and how those definitions can effect interpretations of the data.
- London Crime Analysis by Henry Partridge goes a step further. Henry developed an application to map different types of crime in London. He then used Moran’s I to calculate spatial autocorrelation. There were actually several entries that deal with mapping crime, but only Henry’s entry introduced this extra step beyond a choropleth maps.

It’s worth pointing out that both of the winning entries used RStudio’s Shiny framework.

### Honorable Mention

Several entries besides the winners stood out as teaching me something new in the area of R and shapefiles in a concise, enjoyable way:

- Hong Kong Population Center of Gravity (COG) by Fung Yip taught me about the concept of a Center of Population.
- In Working with Shapefiles Dennis Chandler used shapefiles to explore US historical boundaries, from 1629 to 2000. I did not know that such data existed!
- In Washington, DC Parking Violations Andrew Breza contrasts several different visualization techniques for analyzing parking violation data in Washington, DC. Before reading this I would have used just a choropleth to visualize the data. I learned a lot of new techniques from this!
- In Marine Boundaries in R: Reading EEZ Shapefiles Daniel M. Palacios give a thorough treatment of a real-world issue involving geography, marine data and national borders. He is clearly an expert in this field, and I enjoyed learning about his speciality.

### Prizes

As a reminder, both of the winners will get two prizes:

- A free copy of my course Mapmaking in R with Choroplethr ($99 value) and
- A free copy of my course Shapefiles for R Programmers ($99 value).

I will be in touch with the winners today about how to get their copies of the courses.

**Bonus:**Get all the entries as a PDF!

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